高产幼苗培育技术高价值专利数据

高产幼苗培育技术高价值专利数据库中主要包括了全球专利数据库中有高产幼苗培育技术制造的发明专利和实用新型专利数据，并根据自有算法对专利数据进行了检索、评价打分，有助于了解高产幼苗培育技术知识产权申请情况及地域布局；通过对各企业高产幼苗培育技术专利数据的对比，可了解各企业的技术创新能力；了解高产幼苗培育技术发展趋势及核心技术，有助于企业避免重复研发及侵犯他人的知识产权。本数据基于AHP层次法，采用定量与定性相结合，从专利价值度法出发，指标层将专利价值指标体系分为技术、法律、经济3项一级指标，一级指标层向下为二级指标，包括技术价值指标：独立权利要求数量、主权项字数、专利剩余年限、同族专利数、引证其它专利数、被其他专利引证数、申请人类型得分、发明人投入人数、涉及领域数；法律价值指标：专利类型、文献页数、被无效请求次数；经济价值指标：转让次数、许可次数、质押融资次数、专利奖得分、海关备案得分；根据一级、二级指标建立3个维度的矩阵，通过专利接口数据获取专利评价对应的数据指标，采用1-9分标度法（最低为1分，最高为9分），求得相应的指标权重，用权重技术各个指标的分值，所有指标分值的和即为专利得分，根据分值的区间段对专利进行划分，80-100为高价值专利、60-80位重要专利、60分以下为一般专利，为高产幼苗培育技术企业研发人员提供技术参考及指引，为公司提供研发决策指导。

The high-value patent database for high-yield seedling cultivation technology mainly includes invention and utility model patent data related to high-yield seedling cultivation technology manufacturing retrieved from the global patent database. It retrieves and conducts evaluation scoring on the patent data using a proprietary algorithm, which helps understand the intellectual property (IP) filing status and geographical layout of high-yield seedling cultivation technology; by comparing the patent data of various enterprises in this field, one can gain insights into the technological innovation capabilities of each enterprise. Understanding the development trends and core technologies of high-yield seedling cultivation technology can also help enterprises avoid redundant R&D and infringement of others' IP rights.

This database is based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative methods, starting from the patent valuation method. The indicator layer divides the patent value indicator system into three first-level indicators: technical, legal and economic value. The first-level indicators are broken down into second-level indicators:
Technical value indicators include: number of independent claims, word count of the independent claim, remaining patent term, number of family patents, number of cited patents, number of citing patents, applicant type score, number of participating inventors, and number of covered technical fields.
Legal value indicators include: patent type, number of document pages, and number of invalidation requests.
Economic value indicators include: number of transfers, number of licenses, number of pledge financing cases, patent award score, and customs recordation score.

A three-dimensional matrix is established based on the first-level and second-level indicators. Corresponding data indicators for patent evaluation are obtained through patent interface data. The 1-9 scaling method (with 1 as the lowest score and 9 as the highest) is adopted to calculate the corresponding indicator weights, which are then used to calculate the score of each individual indicator. The sum of all indicator scores constitutes the total patent score. Patents are categorized according to score intervals: 80-100 are high-value patents, 60-80 are important patents, and those below 60 are general patents.

This database provides technical references and guidance for R&D personnel of enterprises engaged in high-yield seedling cultivation technology, and supports corporate R&D decision-making.

搜集汇总

数据集介绍

特点

该数据集包含129条高产幼苗培育技术的高价值专利数据，涵盖技术、法律和经济三个维度的评价指标，每年更新一次，适用于分析知识产权申请情况、企业技术创新能力和技术发展趋势。